Research Article

Predicting High Risk Patients for Negative Appendectomy and Severe Appendicitis Using Inflammatory Biomarkers

Volume: 17 Number: 2 July 15, 2022
EN TR

Predicting High Risk Patients for Negative Appendectomy and Severe Appendicitis Using Inflammatory Biomarkers

Abstract

Objective: The aim of the present study is to evaluate the value of inflammatory parameters and indices of complete blood count (CBC) and C-reactive protein (CRP) in predicting negative laparotomies and severity of acute appendicitis in adults. Material and Methods: A total of 1389 patients who had undergone appendectomy between January 2015 and November 2020 were enrolled in this observational and cross-sectional study. Age, gender, preoperative CRP values, inflammatory parameters of CBC and the pathologic diagnosis were recorded. Multivariate analysis and logistic regression analysis were performed. Results: In multivariate model white blood cell (WBC), platelet count (PLT), mean platelet volume (MPV), absolute neutrophil and lymphocyte counts, neutrophil percentage (NEU%), lymphocyte percentage (LYM%), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio and CRP-to-lymphocyte ratio (CLR) were significant discriminators of negative laparotomy (p<0.001; p=0.031; p=0.02; p<0.001; p<0.001; p<0.001; p<0.001; p<0.001; p=0.044 and p=0.012, respectively). Meanwhile age, CRP, plateletcrit, absolute neutrophil count, NEU%, NLR and CLR were significant predictors of severity (p=0.001; p<0.001; p=0.032; p=0.01; p=0.019; p=0.01 and p<0.001, respectively). These parameters were reanalyzed in the logistic regression equations. The OR of NLR was 1.737 (CI 1.275-2.366; p=0.001; 1-β err prob=0.993) for predicting negative laparotomy and the OR of CRP was 1.783 (CI 1.529-2.08; p<0.001; 1-β err prob=0.991) for predicting complicated cases. Conclusion: Neutrophil-to-lymphocyte ratio is an easy and feasible marker to exclude patients without appendicitis whereas CRP is the most valuable predictive biomarker of complicated appendicitis.

Keywords

Acute appendicitis , Complicated appendicitis , CRP , Negative laparotomy , Neutrophil-to-lymphocyte ratio

References

  1. Di Saverio S, Podda M, De Simone B, Ceresoli M, Augustin G, Gori A et al. Diagnosis and treatment of acute appendicitis: 2020 update of the WSES Jerusalem guidelines. World J Emerg Surg. 2020 Apr;15(1):27.
  2. Özozan ÖV, Vural V. High C-reactive protein level as a predictor for appendiceal perforation. Ulus Travma ve Acil Cerrahi Derg. 2020 Jan;26(1):63–66.
  3. Çetin H, Ekici MF, Yıldırım AC, Zeren S, Yaylak F AM. İliopsoas apsesi ile prezente olan retroçekal perfore apandisit: Vaka sunumu. KSÜ Tıp Fak Der 2021;16(1): 138-141
  4. Samir M, Hefzy M, Gaber M, Moghazy K. Added value of graded compression ultrasound to the Alvarado score in cases of right iliac fossa pain. African J Emerg Med. 2016;6(3):138–143.
  5. Sasaki Y, Komatsu F, Kashima N, Suzuki T, Takemoto I, Kijima S et al. Clinical prediction of complicated appendicitis: A case- control study utilizing logistic regression. World J Clin cases. 2020 Jun;8(11):2127–2136.
  6. Bozan MB, Yazar FM, Güler Ö, Azak Bozan A, Boran ÖF. Preoperative immature granulocyte count and percentage for complicated acute appendicitis and uncomplicated acute appendicitis (A retrospective cohort study). Med Sci. 2021;25(110):760–766.
  7. Chandel V, Batt SH, Bhat MY, Kawoosa NU, Yousuf A, Zargar BR. Procalcitonin as the Biomarker of Inflammation in Diagnosis of Appendicitis in Pediatric Patients and Prevention of Unnecessary Appendectomies. Indian J Surg. 2011;73(2):136–141.
  8. Kostakis ID, Machairas N, Damaskos C, Doula C, Tsaparas P, Charalampoudis P et al. Platelet indices and neutrophil to lymphocyte ratio in adults with acute appendicitis. South African J Surg. 2016;54(1):29–34.
  9. STROBE statement- Checklist of items that should be included in reports of observational studies (© STROBE Initiative). (2008). International Journal of Public Health. Birkhauser Verlag Basel.
  10. Erdfelder E, FAul F, Buchner A, Lang AG. Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behav Res Methods. 2009;41:1149–1160.
AMA
1.Erdoğan A, Çınaroğlu S. Predicting High Risk Patients for Negative Appendectomy and Severe Appendicitis Using Inflammatory Biomarkers. KSU Medical Journal. 2022;17(2):172-181. doi:10.17517/ksutfd.905255